This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Simultaneous Evolution of Learning Rules and Strategies

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Kirchkamp, Oliver () (Sonderforschungsbereich 504)

Additional information is available for the following registered author(s):

Abstract

We study a model of local evolution. Agents are located on a network and interact strategically with their neighbours. Strategies are chosen with the help of learning rules that are based on the success of strategies observed in the neighbourhood. The standard literature on local evolution assumes learning rules to be exogenous and fixed. In this paper we consider a specific evolutionary dynamics that determines learning rules endogenously. We find with the help of simulations that in the long run learning rules behave rather deterministically but are asymmetric in the sense that while learning they put more weight on the learning players' experience than on the observed players' one. Nevertheless stage game behaviour under these learning rules is similar to behaviour with symmetric learning rules.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.kirchkamp.de/research/endogLea3.html
File Format: application/pdf
File Function:
Download Restriction: no

Publisher Info
Paper provided by Sonderforschungsbereich 504, Universität Mannheim & Sonderforschungsbereich 504, University of Mannheim in its series Sonderforschungsbereich 504 Publications with number 98-46.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length: 34 pages
Date of creation: 15 Jun 1996
Date of revision:
Handle: RePEc:xrs:sfbmaa:98-46

Note: I am grateful for financial support from the Deutsche Forschungsgemeinschaft through SFB 303 and SFB 504. Parts of this paper were written at the European University Institute (EUI), Florence. I am very grateful for the hospitality and the support that I received from the EUI. I thank Georg N\
Contact details of provider:
Postal: D-68131 Mannheim
Phone: (49) (0) 621-292-2547
Fax: (49) (0) 621-292-5594
Email:
Web page: http://www.sfb504.uni-mannheim.de/
More information through EDIRC

Web page: http://www.sfb504.uni-mannheim.de

Order Information:
Email:

For technical questions regarding this item, or to correct its listing, contact: (Carsten Schmidt).

Related research
Keywords:

Other versions of this item:

This paper has been announced in the following NEP Reports: References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Ken Binmore & Larry Samuelson, 1994. "Muddling Through:Noisy Equilibrium Selection," Game Theory and Information 9403005, EconWPA, revised 29 Mar 1994. [Downloadable!]
    Other versions:
  2. repec:att:wimass:199612r is not listed on IDEAS
  3. repec:att:wimass:199612 is not listed on IDEAS
  4. repec:att:wimass:199410 is not listed on IDEAS
  5. Kirchkamp, Oliver, 1995. "Spatial Evolution of Automata in the Prisoners' Dilemma," Discussion Paper Serie B 330, University of Bonn, Germany.
    Other versions:
Full references

Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Juan Montoro-Pons & Francisco Garcia-Sobrecases, 2003. "A Computational Approach to the Collective Action Problem: Assessment of Alternative Learning Rules," Computational Economics, Springer, vol. 21(1), pages 137-151, February. [Downloadable!] (restricted)
  2. Juan D. Montoro-Pons, 2000. "Collective Action, Free Riding And Evolution," Computing in Economics and Finance 2000 279, Society for Computational Economics. [Downloadable!]
  3. Kirchkamp, Oliver & Nagel, Rosemarie, 2003. "No imitation - on local and group interaction, learning and reciprocity in prisoners\," Sonderforschungsbereich 504 Publications 03-04, Sonderforschungsbereich 504, Universität Mannheim & Sonderforschungsbereich 504, University of Mannheim. [Downloadable!]
  4. Jurjen Kamphorst & Gerard van der Laan, 2006. "Learning in a Local Interaction Hawk-Dove Game," Tinbergen Institute Discussion Papers 06-034/1, Tinbergen Institute. [Downloadable!]
Statistics
Access and download statistics

Did you know? RePEc also has a blog.

This page was last updated on 2009-12-12.

This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.